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Markov Decision Processes with Applications to Finance
Paperback
Series: Universitext
Investing & FinanceGeneral MathematicsProbability & Statistics
ISBN13: 9783642183232
Publisher: Springer Nature
Published: Jun 8 2011
Pages: 388
Weight: 1.38
Height: 0.93 Width: 6.21 Depth: 9.20
Language: English
The theory of Markov decision processes focuses on controlled Markov chains in discrete time. The authors establish the theory for general state and action spaces and at the same time show its application by means of numerous examples, mostly taken from the fields of finance and operations research. By using a structural approach many technicalities (concerning measure theory) are avoided. They cover problems with finite and infinite horizons, as well as partially observable Markov decision processes, piecewise deterministic Markov decision processes and stopping problems.
The book presents Markov decision processes in action and includes various state-of-the-art applications with a particular view towards finance. It is useful for upper-level undergraduates, Master's students and researchers in both applied probability and finance, and provides exercises (without solutions).
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